RAG - Knowledge Base for your AI
Fully leverage the potential of your corporate data while maintaining maximum privacy.
What is Retrieval-Augmented Generation?
RAG is a technique that combines the capabilities of Large Language Models (LLM) with your own, up-to-date, and specific data. Instead of relying only on what it learned during training, the model can 'look up' relevant information in your internal knowledge base.
"Instead of the AI just guessing, it looks in your library and answers based on facts."
Main benefits of RAG
Up-to-dateness and accuracy
The model has access to the latest versions of your documents, guidelines, or manuals in real-time.
100% data privacy
Your sensitive corporate data never leaves your infrastructure. Both indexing and querying take place locally.
Reduction of hallucinations
Because the model draws from specific documents, the risk of AI making up false information is significantly reduced.
Easy knowledge management
Simply upload new documents (PDF, DOCX, TXT) and the AI will immediately start working with them as an expert source.